生物
清脆的
表观基因组
基因组编辑
计算生物学
地图集(解剖学)
遗传学
DNA甲基化
基因
解剖
基因表达
作者
Leisheng Shi,Shasha Li,Rongyi Zhu,Chenyang Lu,Xintian Xu,Chang‐Zhi Li,Xinyue Huang,Xiaolu Zhao,Fengbiao Mao,Kailong Li
摘要
Abstract CRISPR-based epigenome editing integrates the precision of CRISPR with the capability of epigenetic mark rewriting, offering a tunable and reversible gene regulation strategy without altering the DNA sequences. Various epigenome editing systems have been developed and applied in different organisms and cell types; however, the detailed information is discrete, making it challenging to evaluate the precision of different editing systems and design the optimal sgRNAs for further functional studies. Herein, we developed CRISPRepi (http://crisprepi.maolab.org/ or http://crisprepi.lilab-pkuhsc.org/), a pioneering platform that consolidates extensive sequencing data from 671 meticulously curated RNA-seq, ChIP-seq, Bisulfite-seq and ATAC-seq datasets in 87 cell types manipulated by 74 epigenome editing systems. In total, we have curated 5962 sgRNAs associated with 283 target genes from 2277 samples across six species. CRISPRepi incorporates tools for analyzing editing outcomes and assessing off-target effects by analyzing gene expression changes pre- and post-editing, along with the details of multi-omic epigenetic landscapes. Moreover, CRISPRepi supports the investigation of editing potentials for newly designed sgRNA sequences in a cell/tissue-specific context. By providing a user-friendly interface for searching and selecting optimal editing designs across multiple organisms, CRISPRepi serves as an integrated resource for researchers to evaluate editing efficiency and off-target effects among diverse CRISPR-based epigenome editing systems.
科研通智能强力驱动
Strongly Powered by AbleSci AI